The Challenge: Navigating Hundreds of Thousands of Segments
Modern data platforms offer incredible depth—often hundreds of thousands of pre-built segments. While this provides unprecedented targeting options, it also creates real challenges:- Limited visibility: Provenance and methodology vary across providers
- Inconsistent metrics: Each platform reports quality and performance differently
- Naming conventions: Segment names don’t always clearly convey their contents
- Discovery friction: Finding the right segment requires deep platform expertise
- Fixed catalogs: Pre-built segments may not precisely match campaign needs
How AI Assistants Transform Signal Discovery
Current Approach
- Challenges: Time-intensive, may miss better options, requires platform expertise
With AdCP
- Benefits: Comprehensive discovery, informed decisions, precise targeting
The Power of AI-Assisted Discovery
AI Can Process and Compare Metadata at Scale
Providers Create Exactly What You Need
From Static Catalogs to Dynamic Capabilities
Traditional Approach: Pre-Built Catalogs
- Hundreds of thousands of pre-defined segments
- Challenging to evaluate fit and quality across providers
- Long lead times for new segment creation
- Limited ability to customize for specific needs
- Decision-making based on available documentation
Enhanced with AdCP: AI-Powered Discovery & Creation
Universal Signal Keys
AdCP supports every major identity and targeting methodology:Identity Signals
- RampID: LiveRamp’s universal identifier
- UID2: The Trade Desk’s open-source ID
- Publisher IDs: First-party authenticated users
- Hashed emails: SHA256 email matching
Device Identifiers
- MAIDs: Mobile advertising IDs (IDFA/GAID)
- Connected TV IDs: Roku ID, Samsung ID, etc.
- Cookie IDs: Platform-specific cookies
- IP addresses: Household-level targeting
Geographic Signals
- Lat/Long: Precise location polygons
- Postal codes: ZIP, ZIP+4, international formats
- DMA: Designated Market Areas
- Custom geofences: Store radii, event venues
Multi-Dimensional Signals
- Domain × Time: “wsj.com visitors on weekday mornings”
- Weather × Location: “Cold fronts approaching major metros”
- Content × Sentiment: “Reading positive EV articles”
- Behavior × Frequency: “Daily coffee shop visitors”
Temporal Signals
- Real-time triggers: “Temperature exceeds 85°F”
- Time windows: “Business hours in local timezone”
- Recency: “Visited site in last 24 hours”
- Predictive: “Likely to purchase in next 7 days”
Key Use Cases
💡 Dynamic Weather-Based Activation
🎯 Multi-Signal Campaign Orchestration
🔬 Real-Time Contextual Activation
📊 Custom Signal Creation from Your Data
Multi-Platform Intelligence
See your entire signal ecosystem in one view:Core Tasks
The Signals Activation Protocol supports two primary tasks:1. get_signals
Discover signals across providers using natural language, with visibility into available identity keys.2. activate_signal
Deploy signals to platforms with automatic identity resolution.How It Works
The Value Proposition
For Signal Providers:- 📈 Increased utilization: Better discovery leads to more signal activation
- ⚡ Faster time-to-market: Create custom signals more efficiently
- 🎯 Better matching: Build signals that precisely match buyer needs
- 🌍 Broader compatibility: Support multiple identity types and platforms
- 🔍 Better visibility: Access to comprehensive metadata and performance data
- 🎨 Precise targeting: Request and receive exactly what you need
- 🤖 Informed decisions: AI helps evaluate and compare options
- 🚀 Faster activation: Streamlined discovery and deployment process
Next Steps
- 📖 Technical Teams: Review the Protocol Specification
- 💻 Developers: Explore the Reference Implementation
- 🏗️ Platform Providers: See Integration Guide
- 💬 Everyone: Join the Community
The Signals Activation Protocol is part of the broader AdCP ecosystem, transforming how advertising technology works together.